A computer-implemented system and method for vocal training. A user's voice is measured and assessed. Personalized attributes about the user are also acquired including goals of the user. Based on measured aspects of a user's voice, and attributes acquired about the user (based on a combination of user-reported data, mechanically-assessed and/or artificial intelligence-determined analysis), (1) a report is generated about the user's vocal quality and ability, and (2) the user is given individualized feedback, lessons, and vocal exercises specific to the user's voice, vocal ability, voice-comfort-zone boundaries, and the user's goals in a scientific manner in the form of a virtual-vocal coach. The techniques and goals may be given to the user in real time, and/or used to generate new exercises and drills. By constantly measuring and scoring a user's progress, an ongoing-overall-voice strategy is generated to help the user meet the user's ongoing vocal-development goals.
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2. The computer-implemented method as recited in claim 1, wherein the user's highest-comfortable-vocal range includes at least one of a highest-comfortable pitch, a highest-comfortable-full-voiced pitch, a highest-comfortable note, and a highest-comfortable-belted pitch.
3. The computer-implemented method as recited in claim 1, wherein the user's lowest-comfortable-vocal range includes at least one of a lowest-comfortable pitch, and a lowest-head-register pitch, a highest-comfortable note, and a highest-comfortable-belted pitch.
4. The computer-implemented method as recited in claim 1, further comprising determining tessitura for the user, based at least in part on, the detected user's highest-comfortable-vocal range and the user's lowest-comfortable-vocal range.
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April 20, 2023
August 20, 2024
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